FlexiLoans.com got featured in thehindu.com as we talk about offering finance to those new to the credit system

FlexiLoans.com, a technology enabled online lending platform offering small business loans has been recently featured in “TheHindu.com” FlexiLoans.com makes it easy for SMEs to avail loans without collateral even if they do not have a credit history.

It has been found that 80% of SME loan applications are rejected by banks and other institutional channels due to lack of collateral, poor financial history or nil credit rating. Due to this, SMEs which have a good business record never used a credit card or own assets in the name of an older family member find it very difficult to access loans without collateral. Hence, in order to service such SMEs, FlexiLoans.com offers timely and adequate small business loans to fund their working capital requirement, seasonal inventory cash flow, upfront invoice discounting and equipment purchasing.

FlexiLoans.com gives an internal rating to the SMEs based on their cash flow documents assess their repayment capacity. Thereafter, if all the documentation is in place, the loan is approved within 48 hours. FlexiLoans.com has also tied up with various e-commerce players such as Flipkart and ShopClues to access data, reviews, and ratings on small and medium sized business owners who can be potential borrowers. It has even partnered with a finance company, banks, and point-of-sale machine manufacturing companies to reach out to the maximum number of SMEs who need small business loans.

So far, none of the borrowers have defaulted on FlexiLoans.com platform, barring a few delayed payments. FlexiLoans.com plans to expand its reach from 70 to 200 cities in the next 18 months and more than double loan disbursals to around Rs500 crores.

FlexiLoans is proud to be associated with the "Women in Data Science" Conference held at VJTI. Our key-note speaker Nikita Goel highlighted the application of FinTech, explained Flexiloan's business model and how we lend loans using a digital platform in depth. Also, she addressed the power of data based scoring for lending money to the right customer and application of data science while emphasizing the importance of Natural Language Processing (NLP) and topic modeling. Take a look - ... See MoreSee Less